University diploma Artificial intelligence and intellectual property (distance learning)

Registration is still open for the 2nd edition of the University Diploma "Artificial Intelligence and Intellectual Property" which will take place entirely online during the academic year 2020-2021.

People concerned

Targeted audiences for the DU are Master of Laws students, IP law practitioners (European Patent Attorneys, Intellectual Property Lawyers) as well as non-specialists in intellectual property law, such as marketing professionals, project managers, business leaders and anyone interested in artificial intelligence and its relationship with intellectual property.


An M1 or equivalent is required and a good English level.

Conditions of admission and admission procedures

An admission committee composed of education officials, assisted by one or two professionals, reviews the application to verify the English proficiency and evaluate the motivation of candidates

Opening of applications: 6 July 2020

Deadline for applications: 30 September 2020

Notification of accepted applications: 10 October 2020.

Educational objectives

The impact of the development of computer science on the knowledge of law is phenomenal and fundamental. Yet, few lawyers have the expertise to understand the impact of new algorithmic methods in their practice. The objectives of the training are twofold: the first is to transfer knowledge and skills in this high-tech sector, while the second is to provide technical training to lawyers.

The university degree “Artificial Intelligence and Intellectual Property” has, on the one hand, a goal to remedy this lack in the field of intellectual property rights. Indeed, if there are many training courses on the digital and the law, none sufficiently understates the new issues of artificial intelligence in the field of intellectual property rights, in order to understand and control the issues of protection of these new types of creation, their usefulness to the implementation of rights, as well as their technical and economic environment.

Moreover, another specific objective of the training is that it provides an entire module dedicated to computer technology (Module 1: What is AI: Technical introduction and demystification?), including practical work offering exercises on the code, algorithms, data. This gives it some added value and gives it originality compared to other existing training courses in France and Europe. Thus, at the end of the training, the participants will be able to take advantage not only of deep knowledge in law of the artificial intelligence, but also in computer technique.

Click here to download the brochure.


Module 1 : What is AI ? Technical introduction and demystification

  • Acquire the basic principles of computer technology and data science
  • Learn how to write a short program ("hello world"), compile it and run it
  • Learn how to write a short artificial intelligence algorithm in Python
  • Understand, with precise distinction, the various techniques of artificial intelligence and data science

Module 2 : Transverse : AI and the Law

  • Acquire a general legal culture concerning the relations between artificial intelligence and Law
  • Understand the ethical and societal challenges related to artificial intelligence
  • Understand the technical and legal cybersecurity challenges related to AI
  • Understand the challenges of artificial intelligence in terms of fundamental rights

Module 3 : Algorithms and data protection

  • Understand the legal issues related to data protection: business secret, "ownership" of data, rights to personal data.
  • Understand the legal framework related to the circulation of data: free circulation, competition law, open licenses.

Module 4 : Copyright and computer-generated work

  • Develop an in-depth understanding of the various issues related to the protection of artificial intelligence processes by copyright
  • Understand the issues related to the copyright protection of the products obtained by artificial intelligence processes: creativity, protection, ownership of rights
  • Understand the use of artificial intelligence for the enforcement of copyright

Module 5 : Patent law and computer generated inventions

  • Develop an in-depth understanding of all issues related to the patent protection of artificial intelligence applications and their products
  • Understand the use of artificial intelligence, from patent drafting to “patent landscaping”...
  • Understand the use of artificial intelligence for the implementation of patent rights

Confirmed speakers

Adrien Aulas (Lawyer at the Paris Bar, co-founder of Aeon)
Maja Brkan
(Lecturer in European Law, University of Maastricht)
Julien Cabay (Researcher FNRS, Associate Professor ULB and ULiège)
Gaëlle Candel
(PhD student at Ingenico Group / École Normale Supérieure, Paris)
Stéphanie Carre
(Associate Professor at CEIPI, University of Strasbourg)
Thierry Debled
(Adjunct Professor at CEIPI, University of Strasbourg)
Jean-Marc Deltorn
(PhD, CEIPI, University of Strasbourg)
Giancarlo Frosio
(Associate Professor at CEIPI, University of Strasbourg)
Kim Gerdes ( Associate Professor of Linguistics at ILPGA University Sorbonne Nouvelle - Paris 3)
Julien Gossa ( Associate Professor in Computer Science, ICPS/iCube University of Strasbourg)
Florence G'sell (Professor, University of Lorraine / IEP Paris)
Dominique Guellec (Scientific Advisor to the Observatory of Sciences and Techniques, Paris)
Benjamin Jean (President of Inno3 Consulting, OpenLaw, Paris)
Ross King (Professor of Artificial Intelligence, Chalmers University of Technology, Sweden)
Franck Macrez ( Associate Professor at CEIPI University of Strasbourg)
Gianclaudio Malgieri (Lawyer and post-doctoral researcher, University of Brussels, Sant'Anna School of advanced studies, Pisa)
Cédric Manara (Director, Head of Copyright Department, Google)
Frédéric Marty (CNRS Associate Researcher, University of Nice Sofia-Antipolis)
Mathias le Masne de Chermont (Lawyer at the Paris Bar, co-founder of Aeon)
Tobias McKenney (Senior European IP Policy Manager)
Yannick Meneceur (Artificial Intelligence Advisor, Council of Europe)
Eleonora Rosati (Associate Professor in Intellectual Property Law, Stockholm University)
Hugo Ruggieri (Legal Adviser and DPO, Doctrine, Paris)
Édouard Treppoz (Professor, University of Lyon 3)

Teaching methods

Distance learning mode :

  • Visual presentation of lectures and discussions
  • Individual follow-up of participants / advice and Q&A between the pedagogical coordinators and each participant.
  • Course materials :
    • Videos
    • Multiple Choice Questionnaires

Nature and type of diploma

This training allows obtaining a university degree under condition of meeting the knowledge assessment methods and skills that are brought to the attention of the participants. A certificate of participation will be delivered at the end of the training as well.

Evaluation and examination

The evaluation system consists in a continuous assessment where each module has an equivalent coefficient.

The training, divided into five modules, can be followed either in its entirety, giving rise to the university degree, or module by module.

Each module will be sanctioned by a written test, lasting one hour, performed remotely (via the Moodle platform). Each teacher prepares a written test subject, which may include an essay, a technical note, a text commentary, a lecture question, or a case study. Each test gives rise to a score out of 20.

The final validation of the diploma is subject to the passing of a final oral examination, which consists of the defense, in the presence of two jury members, of a case study work on an artificial intelligence application.

Each module can also be followed independently, without being able to then claim the diploma but a simple certificate of participation (Pass' Compétences).

Course direction


Researcher at CEIPI, University of Strasbourg


Associate Professor at CEIPI, University of Strasbourg

Practical information

The training represents an hourly volume of 120 CM hours per year, carried out remotely (via the Moodle platform).

Each module represents a volume of 24 hours of lectures: 12 hours of personal work and 12 hours of teaching.

For the academic year 2020-2021, teaching will take place from November to the end of June.

As an indication (and subject to change) the courses will be organised according to the following calendar:

  • Module 1: 
    • week of 9 to 14 November 2020
    • week of 23 to 28 November 2020
  • Module 2: 
    • week of 4 to 9 January 2021
    • week of 25 to 30 January 2021
  • Module 3: 
    • week of 15 to 20 February 2021
    • week of 8 to 13 March 2021
  • Module 4: 
    • week of 12 to 17 April 2021
    • week of 10 to 15 May 2021
  • Module 5: 
    • week of 31 May to 5 June 2021
    • week of 21 to 26 June 2021

Registration fees

Registration fees for the academic year 2020/2021

  • Students (Initial training): 1,000 euros (excluding university fees);

Every student in initial training at a higher education institution must pay the Campus and Student Life Contribution (CVEC) before enrolling at his or her institution.

This contribution can be paid or waived on the website.

  • Professional: (continuing education): 3,500 euros (including university fees)

The training can also be taken in modules (without giving right to a diploma)

Fee for each module (continuing education): 1,000 euros.


  • Intellectual property
  • Industrial property
  • Artificial intelligence